编译包含动态并行的代码失败 [英] Compiling code containing dynamic parallelism fails

问题描述

我使用CUDA 5.5和NVDIA GeForce GTX 780进行动态并行编程，计算能力为3.5。我调用内核函数内核函数，但它给我一个错误：

错误：调用__global__函数（kernel_6 ）从__global__函数（kernel_5）只允许在compute_35体系结构或以上

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解决方案

您可以这样做

  nvcc -arch = sm_35 -rdc = true simple1.cu -o simple1 -lcudadevrt 
  

如果您有两个文件simple1.cu和test.c，那么您可以执行以下操作。这称为单独编译。

  nvcc -arch = sm_35 -dc simple1.cu 
 nvcc -arch = sm_35 -dlink simple1.o -o link.o -lcudadevrt 
 g ++ -c test.c 
 g ++ link.o simple1.o test.o -o simple -L / usr / local / cuda / lib64 / -lcudart 
   cuda编程指南 
 
I am doing dynamic parallelism programming using CUDA 5.5 and an NVDIA GeForce GTX 780 whose compute capability is 3.5. I am calling a kernel function inside a kernel function but it is giving me an error:

  
error : calling a __global__ function("kernel_6") from a __global__ function("kernel_5") is only allowed on the compute_35 architecture or above
What am I doing wrong?
解决方案
You can do something like this
nvcc -arch=sm_35 -rdc=true simple1.cu -o simple1 -lcudadevrt
or 

If you have 2 files simple1.cu and test.c then you can do something as below. This is called seperate compilation. 
nvcc -arch=sm_35 -dc simple1.cu 
nvcc -arch=sm_35 -dlink simple1.o -o link.o -lcudadevrt
g++ -c test.c 
g++ link.o simple1.o test.o -o simple -L/usr/local/cuda/lib64/ -lcudart
The same is explained in the cuda programming guide

                        
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